title: The expanded human disease network combining protein-protein interaction information.
abstract: The human disease network (HDN) has become a powerful tool for revealing disease-disease associations. Some studies have shown that genes that share similar or same disease phenotypes tend to encode proteins that interact with each other. Therefore, protein-protein interactions (PPIs) may help us to further understand the relationships between diseases with overlapping clinical phenotypes. In this study, we constructed the expanded HDN (eHDN) by combining disease gene information with PPI information, and analyzed its topological features and functional properties. We found that the network is hierarchical and, most diseases are connected to only a few diseases, whereas a small part of diseases are linked to many different diseases. Diseases in a specific disease class tend to cluster together, and genes associated with the same disease are functionally related. Comparing the eHDN with the original HDN (oHDN, constructed using disease gene information) revealed high consistency over all topological and functional properties. This, to some extent, indicates that our eHDN is reliable. In the eHDN, we found some new associations among diseases resulting from the shared genes interacting with disease genes. The new eHDN will provide a valuable reference for clinicians and medical researchers.
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
authors.forename: Xuehong
authors.initials: X
authors.lastname: Zhang
authors.forename: Ruijie
authors.initials: R
authors.lastname: Zhang
authors.forename: Yongshuai
authors.initials: Y
authors.lastname: Jiang
authors.forename: Peng
authors.initials: P
authors.lastname: Sun
authors.forename: Guoping
authors.initials: G
authors.lastname: Tang
authors.forename: Xing
authors.initials: X
authors.lastname: Wang
authors.forename: Hongchao
authors.initials: H
authors.lastname: Lv
authors.forename: Xia
authors.initials: X
authors.lastname: Li
mesh_terms: D016000:Cluster Analysis; D019295:Computational Biology; D030541:Databases, Genetic; D020022:Genetic Predisposition to Disease; D006801:Humans; D025941:Protein Interaction Mapping; D011506:Proteins / Q000235:genetics / Q000378:metabolism
chemical_list: D011506:Proteins